Maximilian Durner

40 papers A* 6A 6C 2Misc 1Journal 19Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Finding NeMO: A Geometry-Aware Representation of Template Views for Few-Shot Perception. CoRR Sebastian Jung, Leonard Klüpfel, Rudolph Triebel, Maximilian Durner
2026	J	`jnl`	Markerless Robot Detection and 6D Pose Estimation for Multi-Agent SLAM. CoRR Markus Rueggeberg, Maximilian Ulmer, Maximilian Durner, Wout Boerdijk, Marcus Gerhard Müller, Rudolph Triebel, Riccardo Giubilato
2025	J	`jnl`	Conditional Latent Diffusion Models for Zero-Shot Instance Segmentation. CoRR Maximilian Ulmer, Wout Boerdijk, Rudolph Triebel, Maximilian Durner
2025	J	`jnl`	Seeing Through Uncertainty: Robot Pose Estimation Based on Imperfect Prior Kinematic Knowledge. IEEE Trans. Robotics Leonard Klüpfel, Lukas Burkhard, Anne E. Reichert, Maximilian Durner, Rudolph Triebel
2025	A*	`conf`	Towards Autonomous Data Annotation and System-Agnostic Robotic Grasping Benchmarking with 3D-Printed Fixtures. ICRA Wout Boerdijk, Maximilian Durner, Ryo Sakagami, Peter Lehner, Rudolph Triebel
2024	J	`jnl`	How Important are Data Augmentations to Close the Domain Gap for Object Detection in Orbit? CoRR Maximilian Ulmer, Leonard Klüpfel, Maximilian Durner, Rudolph Triebel
2024	A*	`conf`	Unknown Object Grasping for Assistive Robotics. ICRA Elle Miller, Maximilian Durner, Matthias Humt, Gabriel Quere, Wout Boerdijk, Ashok M. Sundaram, Freek Stulp, Jörn Vogel
2024	J	`jnl`	Unknown Object Grasping for Assistive Robotics. CoRR Elle Miller, Maximilian Durner, Matthias Humt, Gabriel Quere, Wout Boerdijk, Ashok M. Sundaram, Freek Stulp, Jörn Vogel
2023	A	`conf`	6D Object Pose Estimation from Approximate 3D Models for Orbital Robotics. IROS Maximilian Ulmer, Maximilian Durner, Martin Sundermeyer, Manuel Stoiber, Rudolph Triebel
2023	J	`jnl`	6D Object Pose Estimation from Approximate 3D Models for Orbital Robotics. CoRR Maximilian Ulmer, Maximilian Durner, Martin Sundermeyer, Manuel Stoiber, Rudolph Triebel
2023	J	`jnl`	Density-based Feasibility Learning with Normalizing Flows for Introspective Robotic Assembly. CoRR Jianxiang Feng, Matan Atad, Ismael Rodríguez, Maximilian Durner, Stephan Günnemann, Rudolph Triebel
2023	A	`conf`	Efficient and Feasible Robotic Assembly Sequence Planning via Graph Representation Learning. IROS Matan Atad, Jianxiang Feng, Ismael Rodríguez, Maximilian Durner, Rudolph Triebel
2023	J	`jnl`	Efficient and Feasible Robotic Assembly Sequence Planning via Graph Representation Learning. CoRR Matan Atad, Jianxiang Feng, Ismael Rodríguez, Maximilian Durner, Rudolph Triebel
2022	A	`conf`	Bayesian Active Learning for Sim-to-Real Robotic Perception. IROS Jianxiang Feng, Jongseok Lee, Maximilian Durner, Rudolph Triebel
2021	A*	`conf`	"What's This?" - Learning to Segment Unknown Objects from Manipulation Sequences. ICRA Wout Boerdijk, Martin Sundermeyer, Maximilian Durner, Rudolph Triebel
2021	A	`conf`	A Photorealistic Terrain Simulation Pipeline for Unstructured Outdoor Environments. IROS Marcus Gerhard Müller, Maximilian Durner, Abel Gawel, Wolfgang Stürzl, Rudolph Triebel, Roland Siegwart
2021	J	`jnl`	Bridging the Last Mile in Sim-to-Real Robot Perception via Bayesian Active Learning. CoRR Jianxiang Feng, Jongseok Lee, Maximilian Durner, Rudolph Triebel
2021	J	`jnl`	Introspective Robot Perception using Smoothed Predictions from Bayesian Neural Networks. CoRR Jianxiang Feng, Maximilian Durner, Zoltan-Csaba Marton, Ferenc Balint-Benczedi, Rudolph Triebel
2021	—	`conf`	Searching for Objects in Human Living Environments based on Relevant Inferred and Mined Priors. ECMR Alejandra C. Hernández, Maximilian Durner, Clara Gómez, Iris Lynne Grixa, Oskars Teikmanis, Zoltan-Csaba Marton, Ramón Barber
2021	A	`conf`	Unknown Object Segmentation from Stereo Images. IROS Maximilian Durner, Wout Boerdijk, Martin Sundermeyer, Werner Friedl, Zoltán-Csaba Márton, Rudolph Triebel
2021	J	`jnl`	Unknown Object Segmentation from Stereo Images. CoRR Maximilian Durner, Wout Boerdijk, Martin Sundermeyer, Werner Friedl, Zoltan-Csaba Marton, Rudolph Triebel
2020	J	`jnl`	"What's This?" - Learning to Segment Unknown Objects from Manipulation Sequences. CoRR Wout Boerdijk, Martin Sundermeyer, Maximilian Durner, Rudolph Triebel
2020	J	`jnl`	Augmented Autoencoders: Implicit 3D Orientation Learning for 6D Object Detection. Int. J. Comput. Vis. Martin Sundermeyer, Zoltan-Csaba Marton, Maximilian Durner, Rudolph Triebel
2020	A*	`conf`	Multi-Path Learning for Object Pose Estimation Across Domains. CVPR Martin Sundermeyer, Maximilian Durner, En Yen Puang, Zoltan-Csaba Marton, Narunas Vaskevicius, Kai O. Arras, Rudolph Triebel
2020	J	`jnl`	Pattern Recognition for Knowledge Transfer in Robotic Assembly Sequence Planning. IEEE Robotics Autom. Lett. Ismael Rodríguez, Korbinian Nottensteiner, Daniel Leidner, Maximilian Durner, Freek Stulp, Alin Albu-Schäffer
2020	Misc	`conf`	Self-Supervised Object-in-Gripper Segmentation from Robotic Motions. CoRL Wout Boerdijk, Martin Sundermeyer, Maximilian Durner, Rudolph Triebel
2020	J	`jnl`	Self-Supervised Object-in-Gripper Segmentation from Robotic Motions. CoRR Wout Boerdijk, Martin Sundermeyer, Maximilian Durner, Rudolph Triebel
2020	J	`jnl`	The ARCHES Space-Analogue Demonstration Mission: Towards Heterogeneous Teams of Autonomous Robots for Collaborative Scientific Sampling in Planetary Exploration. IEEE Robotics Autom. Lett. Martin J. Schuster, Marcus Gerhard Müller, Sebastian G. Brunner, Hannah Lehner, Peter Lehner, Ryo Sakagami, Andreas Dömel, Lukas Meyer, Bernhard Vodermayer, Riccardo Giubilato, Mallikarjuna Vayugundla, Josef Reill, Florian Steidle, Ingo von Bargen, Kristin Bussmann, Rico Belder, Philipp Lutz, Wolfgang Stürzl, Michal Smísek, Moritz Maier, Samantha Stoneman, Andre Fonseca Prince, Bernhard Rebele, Maximilian Durner, Emanuel Staudinger, Siwei Zhang, Robert Pöhlmann, Esther Bischoff, Christian Braun, Susanne Schröder, Enrico Dietz, Sven Frohmann, Anko Börner, Heinz-Wilhelm Hübers, Bernard Foing, Rudolph Triebel, Alin Olimpiu Albu-Schäffer, Armin Wedler
2019	J	`jnl`	Implicit 3D Orientation Learning for 6D Object Detection from RGB Images. CoRR Martin Sundermeyer, Zoltan-Csaba Marton, Maximilian Durner, Manuel Brucker, Rudolph Triebel
2019	C	`conf`	Introspective Robot Perception Using Smoothed Predictions from Bayesian Neural Networks. ISRR Jianxiang Feng, Maximilian Durner, Zoltán-Csaba Márton, Ferenc Bálint-Benczédi, Rudolph Triebel
2019	J	`jnl`	Multi-path Learning for Object Pose Estimation Across Domains. CoRR Martin Sundermeyer, Maximilian Durner, En Yen Puang, Zoltan-Csaba Marton, Rudolph Triebel
2019	A*	`conf`	Visual Repetition Sampling for Robot Manipulation Planning. ICRA En Yen Puang, Peter Lehner, Zoltan-Csaba Marton, Maximilian Durner, Rudolph Triebel, Alin Albu-Schäffer
2018	—	`conf`	6DoF Pose Estimation for Industrial Manipulation Based on Synthetic Data. ISER Manuel Brucker, Maximilian Durner, Zoltán-Csaba Márton, Ferenc Bálint-Benczédi, Martin Sundermeyer, Rudolph Triebel
2018	—	`conf`	Implicit 3D Orientation Learning for 6D Object Detection from RGB Images. ECCV (6) Martin Sundermeyer, Zoltan-Csaba Marton, Maximilian Durner, Manuel Brucker, Rudolph Triebel
2018	A*	`conf`	Semantic Labeling of Indoor Environments from 3D RGB Maps. ICRA Manuel Brucker, Maximilian Durner, Rares Ambrus, Zoltan Csaba Marton, Axel Wendt, Patric Jensfelt, Kai Oliver Arras, Rudolph Triebel
2018	—	`conf`	Simultaneous Calibration and Mapping. ISER Christian Nissler, Maximilian Durner, Zoltán-Csaba Márton, Rudolph Triebel
2017	—	`conf`	Experience-based optimization of robotic perception. ICAR Maximilian Durner, Simon Kriegel, Sebastian Riedel, Manuel Brucker, Zoltan-Csaba Marton, Ferenc Balint-Benczedi, Rudolph Triebel
2017	A	`conf`	Selecting CNN features for online learning of 3D objects. IROS Monika Ullrich, Haider Ali, Maximilian Durner, Zoltan-Csaba Marton, Rudolph Triebel
2017	—	`conf`	Storing and retrieving perceptual episodic memories for long-term manipulation tasks. ICAR Ferenc Balint-Benczedi, Zoltan-Csaba Marton, Maximilian Durner, Michael Beetz
2016	C	`conf`	Active classifier selection for RGB-D object categorization using a Markov random field ensemble method. ICMV Maximilian Durner, Zoltan Csaba Marton, Ulrich Hillenbrand, Haider Ali, Martin Kleinsteuber